Triple
T5222309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maia Morgenstern |
E117897
|
entity |
| Predicate | notableRole |
P22
|
FINISHED |
| Object | Electra |
E9702
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Electra | Statement: [Maia Morgenstern, notableRole, Electra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Electra Context triple: [Maia Morgenstern, notableRole, Electra]
-
A.
Electra
chosen
Electra is a figure in Greek mythology, traditionally known as one of the Pleiades and a daughter of the Titan Atlas.
-
B.
Elektra
Elektra is a 2005 superhero film based on the Marvel Comics character, serving as a spin-off from the 2003 movie Daredevil.
-
C.
Creusa
Creusa is a figure in Greek mythology, best known as a Trojan princess and the wife of the hero Aeneas.
-
D.
Creusa
Creusa is a figure in Greek mythology, often depicted as an Athenian princess and mother of Ion in Euripides’ tragedy.
-
E.
Antiope
Antiope is an Amazonian queen in Greek mythology, often associated with Athens through her relationship with the hero Theseus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7aba05b48190b6a7fc52ab3532f0 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeff852bc81908467a343c5ded404 |
completed | March 21, 2026, 7:22 p.m. |
Created at: March 20, 2026, 1:48 p.m.